Hanli Wang

5.3k total citations
194 papers, 3.1k citations indexed

About

Hanli Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hanli Wang has authored 194 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Computer Vision and Pattern Recognition, 43 papers in Signal Processing and 32 papers in Artificial Intelligence. Recurrent topics in Hanli Wang's work include Human Pose and Action Recognition (40 papers), Video Coding and Compression Technologies (37 papers) and Multimodal Machine Learning Applications (36 papers). Hanli Wang is often cited by papers focused on Human Pose and Action Recognition (40 papers), Video Coding and Compression Technologies (37 papers) and Multimodal Machine Learning Applications (36 papers). Hanli Wang collaborates with scholars based in China, Hong Kong and United States. Hanli Wang's co-authors include Sam Kwong, Pengjie Tang, C.‐C. Jay Kuo, Chi-Ho Tsang, Sudeng Hu, Chi‐Wah Kok, Qinyu Li, Tiesong Zhao, Bowen Zhang and Long Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Macromolecules and IEEE Transactions on Industrial Electronics.

In The Last Decade

Hanli Wang

184 papers receiving 3.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hanli Wang China	28	1.9k	773	760	264	239	194	3.1k
Haoliang Li China	31	2.2k 1.2×	790 1.0×	949 1.2×	216 0.8×	336 1.4×	162	4.0k
Marius Kloft Germany	25	998 0.5×	325 0.4×	1.7k 2.3×	168 0.6×	180 0.8×	86	3.0k
Lin Wu China	31	2.3k 1.2×	284 0.4×	944 1.2×	404 1.5×	389 1.6×	137	3.6k
Jie Wen China	38	3.4k 1.8×	742 1.0×	2.0k 2.6×	219 0.8×	889 3.7×	200	5.1k
Rui Wang China	30	1.4k 0.7×	522 0.7×	731 1.0×	143 0.5×	531 2.2×	235	3.3k
Yanfeng Sun China	25	1.1k 0.6×	279 0.4×	534 0.7×	102 0.4×	196 0.8×	187	2.4k
Xin Liao China	30	2.5k 1.3×	215 0.3×	533 0.7×	135 0.5×	257 1.1×	195	3.9k
Ming Zhu China	22	600 0.3×	296 0.4×	646 0.8×	203 0.8×	99 0.4×	155	2.1k
Yuxin Peng China	37	4.0k 2.1×	215 0.3×	1.9k 2.5×	244 0.9×	235 1.0×	210	5.1k
Wei Sun China	33	1.8k 1.0×	215 0.3×	223 0.3×	229 0.9×	502 2.1×	195	3.5k

Countries citing papers authored by Hanli Wang

Since Specialization

Citations

This map shows the geographic impact of Hanli Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hanli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanli Wang more than expected).

Fields of papers citing papers by Hanli Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanli Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hanli Wang. The network helps show where Hanli Wang may publish in the future.

Co-authorship network of co-authors of Hanli Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hanli Wang. A scholar is included among the top collaborators of Hanli Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanli Wang. Hanli Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Hanli, et al.. (2025). MGTR-MISS: More Ground Truth Retrieving based Multimodal Interaction and Semantic Supervision for video description. Neural Networks. 192. 107817–107817.

Shi, Miaojing, et al.. (2025). Bootstrapping Vision-Language Models for Frequency-Centric Self-Supervised Remote Physiological Measurement. International Journal of Computer Vision. 133(7). 4112–4133. 2 indexed citations

Sun, Mingjian, et al.. (2025). Integrating Disparity Confidence Estimation Into Relative Depth Prior-Guided Unsupervised Stereo Matching. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 350–362.

Ni, Zhangkai, Shuicheng Yan, Wenhan Yang, et al.. (2025). Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution. IEEE Transactions on Image Processing. 34. 3861–3872. 1 indexed citations

Liu, Bing, Wei Zhang, Jianhai Jiang, et al.. (2024). Sulfate ion induced formation of unsaturated coordination of AlF3 nanocluster catalyst confined in carbon framework for catalytic dehydrofluorination. Journal of environmental chemical engineering. 12(2). 112462–112462. 1 indexed citations

Zhou, Jun, et al.. (2024). Highly Selective Soluble Polyimides Simultaneously Containing Benzimidazole and Hydroxyl Groups for Membrane-Based Gas Separation. Macromolecules. 57(12). 5929–5940. 13 indexed citations

Li, Rui, Yuqiong Mao, Qingqing Liu, et al.. (2024). Modified poly(vinylidene fluoride) polymer binder enables ultrathin sulfide solid electrolyte membrane for all-solid-state batteries. Journal of Energy Storage. 106. 114859–114859. 1 indexed citations

Ni, Zhangkai, et al.. (2024). M2Trans: Multi-Modal Regularized Coarse-to-Fine Transformer for Ultrasound Image Super-Resolution. IEEE Journal of Biomedical and Health Informatics. 29(5). 3112–3123. 2 indexed citations

Wang, Hanli, et al.. (2024). Multi-Modal Large Language Model Enhanced Pseudo 3D Perception Framework for Visual Commonsense Reasoning. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11682–11694. 2 indexed citations

10.

Ni, Zhangkai, et al.. (2023). CSformer: Bridging Convolution and Transformer for Compressive Sensing. IEEE Transactions on Image Processing. 32. 2827–2842. 59 indexed citations

11.

Ni, Zhangkai, et al.. (2023). Glow in the Dark: Low-Light Image Enhancement With External Memory. IEEE Transactions on Multimedia. 26. 2148–2163. 23 indexed citations

12.

Ni, Zhangkai, et al.. (2023). High Dynamic Range Image Quality Assessment Based on Frequency Disparity. IEEE Transactions on Circuits and Systems for Video Technology. 33(8). 4435–4440. 13 indexed citations

13.

Wang, Hanli, et al.. (2023). Self-Supervised Video Representation Learning by Serial Restoration With Elastic Complexity. IEEE Transactions on Multimedia. 26. 2235–2248. 3 indexed citations

14.

Zhang, Yun, et al.. (2023). Perceptually Weighted Rate Distortion Optimization for Video-Based Point Cloud Compression. IEEE Transactions on Image Processing. 32. 5933–5947. 9 indexed citations

15.

Sun, Yongchao, Fei Guo, Gaohong He, et al.. (2023). Amidoxime Modified UiO-66@PIM-1 Mixed-Matrix Membranes to Enhance CO2 Separation and Anti-Aging Performance. Membranes. 13(9). 781–781. 4 indexed citations

16.

Wang, Hanli, et al.. (2018). CNN Features for Emotional Impact of Movies Task.. MediaEval. 2 indexed citations

17.

Wang, Hanli, et al.. (2017). MIC-TJU in MediaEval 2017 Emotional Impact of Movies Task.. MediaEval. 1 indexed citations

18.

Wang, Hanli, et al.. (2015). Action recognition from unconstrained videos via salient and robust trajectory. Journal of Image and Graphics. 20(2). 245–253. 1 indexed citations

19.

Wang, Hanli, et al.. (2015). MIC-TJU in MediaEval 2015 Affective Impact of Movies Task. MediaEval. 18 indexed citations

20.

Zhang, Bowen, et al.. (2014). MIC-TJU at MediaEval Violent Scenes Detection (VSD) 2014. MediaEval. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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